I’m a Senior Data Engineer with 6+ years of hands-on experience designing and building scalable batch and streaming data pipelines for real-world production systems. My core expertise includes Python, SQL, PySpark, Spark, Kafka, Delta Lake, Databricks, Snowflake, and cloud platforms like AWS and GCP. Over the years, I’ve worked on complex data platforms and interviewed with multiple product-based and data-driven companies, which has helped me develop a strong understanding of what interviewers truly evaluate—problem-solving ability, system thinking, clarity of explanation, and depth of fundamentals. I mentor professionals preparing for data engineering interviews, focusing on SQL and PySpark problem-solving, ETL and streaming design, performance optimization, Spark internals, and data system design. I also help with resume reviews, mock interviews, and project storytelling, ensuring candidates can confidently explain their work and decision-making. My mentoring style is practical, structured, and honest—no unnecessary theory, only concepts and patterns that actually matter in interviews and on the job. If you’re a data engineer who knows the basics but struggles to convert that knowledge into interview success, I can help you bridge that gap.